Match

Teramo vs Fermana: result 0-0 and analysis

Serie C - Girone ARegular Season - 6Kick-off on October 1, 2017 at 12:30 PM (UTC)Stadio Gaetano Bonolis, Teramo

Teramo
0-0
Fermana

Full time

What was the result of Teramo vs Fermana?

Teramo and Fermana drew 0-0 on October 1, 2017.

Official lineup for Teramo vs Fermana

The starting elevens fielded at kick-off.

Teramo

  1. 9C. Foggia
  2. 11G. Tulli
  1. 4L. De Grazia
  2. 10C. Ilari
  3. 14K. Varas
  4. 24Antonio Bacio Terracino
  1. 2Christian Ventola
  2. 6I. Speranza
  3. 15Simone Sales
  4. 23N. Caidi
  1. 22T. Calore

Fermana

  1. 7Andrea Petrucci
  2. 17M. Sansovini
  3. 29A. Lupoli
  1. 4Gianluca Urbinati
  2. 8Alex Misin
  3. 11I. Iotti
  4. 24Roberto Grieco
  1. 5Marco Comotto
  2. 21M. Gennari
  3. 30N. Sperotto
  1. 1Mattia Valentini
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Teramo have 5 wins, 5 draws and 5 defeats; Fermana have 3, 1 and 1.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Teramo
DateOpponentScoreCompetition
Sep 24, 2017Pordenone(away)2-4Serie C - Girone A
Sep 17, 2017Ravenna(home)3-2Serie C - Girone A
Sep 10, 2017Vicenza Virtus(away)0-1Serie C - Girone A
Aug 27, 2017Mestre(away)1-1Serie C - Girone A
May 7, 2017Feralpisalo(away)1-0Serie C - Girone A
Fermana
DateOpponentScoreCompetition
Sep 24, 2017Santarcangelo(away)5-1Serie C - Girone A
Sep 20, 2017Sambenedettese(home)2-0Serie C - Girone A
Sep 17, 2017Mestre(home)1-0Serie C - Girone A
Sep 10, 2017Sudtirol(away)2-2Serie C - Girone A
Aug 27, 2017Ravenna(away)0-1Serie C - Girone A

How many goals should we expect?

Teramo score 1.1 and concede 1.0 goals per match over their last 15; Fermana score 2.0 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Teramo1.11.075/155/15
Fermana2.00.822/52/5

Over the last 15 matches in all competitions.

A question about Teramo vs Fermana?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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